Artificial Intelligence (AI) Edge Computing Market Expected to Reach $24.54 Billion in 2025 With CAGR of 20.9%

Projected Exponential Growth Driven by IoT Devices Proliferation, Advancements in Edge Computing Technology, and Rising Demand for Real-Time Data Processing

What Is The Projected Market Size Of The Artificial Intelligence (AI) Edge Computing Global Market And Its Growth Rate?
The AI edge computing market has shown a steady growth pattern:
• The market size was $20.29 billion in 2024.
• It is projected to grow to $24.54 billion in 2025 with a compound annual growth rate (CAGR) of 20.9% thanks to factors such as IoT devices proliferation, advancements in edge computing technology, and increasing demand for real-time data processing.
• The market is projected to reach $53.18 billion in 2029 with a CAGR of 21.3% driven by the expansion of 5G networks, adoption of edge AI in autonomous vehicles, and emergence of Industry 4.0 initiatives.

What Is Driving The Growth In The Artificial Intelligence (AI) Edge Computing Market?
The increasing use of artificial intelligence automation in industrial machinery is propelling the AI edge computing market. AI edge computing contributes to automation by enabling real-time data processing and decision-making at the network's edge. According to a report by International Business Machines Corporation (IBM), the global AI adoption rate rose significantly in 2022 with 35% of organizations adopting AI; two-thirds of them (66%) are utilizing or planning to utilize AI to achieve their sustainability goals.

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Who Are the Key Players Driving Artificial Intelligence (AI) Edge Computing Global Market Growth?
Key players in the AI edge computing market include:
• Apple Inc.
• Google LLC
• Samsung Electronics Co. Ltd.
• Microsoft Corporation
• Dell Technologies Inc.
• Huawei Technologies Co. Ltd.
• Siemens AG
• General Electric Company (GE)
• Intel Corporation
• accenture* PLC

What Are The Key Trends In The Artificial Intelligence (AI) Edge Computing Market?
Global AI edge computing market trends include:
• Edge AI market consolidation
• Rise of edge AI as a service (AIAAS)
• Shift towards decentralized AI architectures
• Hybrid edge-cloud computing models
• Increasing focus on edge AI sustainability and energy efficiency

What Are The Segments Of The Global Artificial Intelligence (AI) Edge Computing Market?
The market is segmented by:
• Component: Hardware, Software, Services
• Application: Industrial Internet Of Things (IIoT), Remote Monitoring, Content Delivery, Video Analytics, Augmented Reality (AR) And Virtual Reality (VR)
• Organization Size: Large Enterprises, Small And Medium Sized Enterprises
• Industry Vertical: Automotive, Healthcare, Chemicals, Oil And Gas, Manufacturing And Robotics, Public Infrastructure, Transportation And Logistics

Which Region Leads The Artificial Intelligence (AI) Edge Computing Global Market?
North America stood as the largest region in the AI edge computing market in 2024. However, Asia-Pacific is expected to be the fastest-growing region in the coming years. The report also covers other regions like Western Europe, Eastern Europe, South America, Middle East, and Africa.

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What Is Covered In The Artificial Intelligence (AI) Edge Computing Global Market Report?
- Market Size Analysis: Analyze the AI Edge Computing Global market size by key regions, countries, product types, and applications.

- Market Segmentation Analysis: Identify various subsegments within the AI Edge Computing market for effective categorization.

- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.

- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.

- Market Contribution: Evaluate contributions of different segments to the overall AI Edge Computing Global market growth.

- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.

- Industry Challenges: Analyze challenges and risks affecting the AI Edge Computing Global market.

- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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